Artificial Intelligence Intern

Company Description India’s Future Investors (IFI) is India’s pioneering Money Entertainment Reality Show, where money, time, pressure, and character intersect in competitive real-world scenarios. Through immersive challenges, IFI explores how people think, prioritize, and make financial decisions under time constraints and high stakes. The show blends money intelligence, human behavior, and entertainment to discover India’s “Money Rockstar.” IFI invites viewers and participants alike to engage, compete, and follow the journey as the search for India’s top money strategist unfolds. The show is produced under the BullVale banner and reaches a growing audience interested in finance, decision-making, and innovative content.
Role Description The Artificial Intelligence Intern will work full time in a remote capacity, collaborating with the core team to design and enhance AI-driven features for the show’s digital and interactive experiences. Day-to-day tasks may include assisting in building predictive models, analyzing participant behavior and show data, and experimenting with machine learning approaches to scoring, recommendations, and audience engagement. The intern will contribute to data preprocessing, exploratory analysis, and prototyping algorithms that help evaluate decision-making under pressure. The role will also involve documenting findings, preparing simple reports or visualizations, and working closely with product, content, and tech stakeholders to align AI solutions with creative and business goals.
Qualifications
Strong foundation in Computer Science concepts, including data structures, algorithms, and software engineering fundamentals.
Solid Analytical Skills with the ability to interpret data, identify patterns, and draw actionable insights.
Basic to intermediate exposure to Data Science methods, such as data cleaning, feature engineering, and statistical analysis.
Hands-on experience or coursework in Machine Learning, including supervised and unsupervised techniques and model evaluation.
Proficiency in Programming (preferably Python or similar languages) and familiarity with common ML/data libraries (e.g., NumPy, pandas, scikit-learn, TensorFlow or PyTorch).
Currently pursuing or recently completed a degree in Computer Science, Data Science, Engineering, Mathematics, or a related field.
Ability to work independently in a remote environment, manage time effectively, and communicate clearly with cross-functional teams.
Interest in finance, behavioral economics, gaming, or entertainment formats is highly beneficial.
Experience with data visualization tools (e.g., Matplotlib, Plotly, Tableau) and version control (e.g., Git) is a plus.

Work arrangement
Yes